Analyzing Topic Transitions using Term Context-dependent Attractiveness

Authors:
Makoto Sato;Mina Akaishi;Koichi Hori
Affiliations:
Department of Aeronautics and Astronautics, The University of Tokyo, Japan;Department of Aeronautics and Astronautics, The University of Tokyo, Japan;Department of Aeronautics and Astronautics, The University of Tokyo, Japan
Venue:
Proceedings of the 2010 conference on Information Modelling and Knowledge Bases XXI
Year:
2010

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Abstract

The context of information when it is accumulated is different from the context when it is used. Generating a story in a new context from an enormous number of documents is difficult. Thus, we designed an information access framework that supports the decomposition/recomposition of documents by enabling the manipulation of their narrative structures. In this paper, we propose taking into account context dependency in this framework and illustrate the document recomposition procedure with context dependency.